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Short-Term Traffic Flow Prediction Based on VMD-SMA-SVR

2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS)
Accurate prediction of short-term highway traffic flow is crucial for ensuring traffic safety and reducing the accident rate. This study proposes a traffic flow prediction model based on Variational Mode Decomposition-Slime Mould Algorithm-Support Vector
Zuchen Que   +4 more
semanticscholar   +1 more source

The Short-Term Predictability of Traffic Flow

Traffic and Transportation Studies (2000), 2000
Shoufeng Ma, Guoguang He, Lanpu Du
openaire   +1 more source

A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction

2015
In this paper, a plane moving average algorithm is proposed for solving the urban road flow forecasting problem. This new approach assembles information from relevant traffic time series and has the following advantages: (1) it integrates both individual and similar flow patterns in making prediction, (2) the training data set does not need to be large,
Lei Lv   +3 more
openaire   +1 more source

The Application of Neuro-FDT in Urban Short-Term Traffic Flow Prediction

Third International Conference on Natural Computation (ICNC 2007) Vol V, 2007
Today, the problems are more and more serious such as urban traffic accident, traffic jam, environment pollution and energy consume etc. Intelligence transportation system is one of valid methods to resolve the problem of road traffic jam and reduce traffic accident, etc.
openaire   +2 more sources

Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method

IEEE Transactions on Intelligent Transportation Systems, 2022
Jibiao Zhou, Changxi Ma
exaly  

Research on a short-term traffic flow prediction method

Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023
Jun Nie   +3 more
openaire   +1 more source

A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network

IEEE Transactions on Intelligent Transportation Systems, 2022
Neal N. Xiong, Ken Cai, Ken Cai
exaly  

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